Generative AI for Thought Leadership
Course Description
This course empowers professionals to build practical AI fluency and adopt a growth mindset that leverages generative AI (GenAI) to amplify subject matter expertise and establish industry authority. Through hands-on exploration of GenAI tools, participants will master their application across core thought leadership functions—including industry analysis, insight generation, content creation, and influence optimization.
Learners will align AI implementation with strategic thought leadership goals by connecting use cases to measurable outcomes such as authority building, influence expansion, and industry impact. The course also emphasizes ethical AI practices and responsible frameworks that preserve credibility, protect intellectual property, and maintain an authentic expert voice.
By the end of the course, participants will be equipped to design sustainable AI-enhanced workflows that elevate original thinking and reinforce their unique leadership voice—ensuring AI serves as a powerful amplifier, not a replacement, of human expertise.
Audience
Whether you're a subject matter expert, strategist, or innovation leader, this course gives you the tools to lead boldly, think originally, and grow strategically—with AI as your amplifier.
Learning Outcomes
- Build AI skills and a growth mindset to advance expertise and credibility.
- Expand knowledge on GenAI tools for industry insights, content creation, and building influence.
- Leverage AI to support thought leadership by building authority, expanding influence, and driving meaningful impact.
- Establish ethical AI practices that protect credibility, expert voice, and intellectual property.
- Create AI workflows that support expert thinking and authentic thought leadership.
Syllabus
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- Technical Foundations
- GenAI Prediction Game
- Mindset: Take the wheel
- The Goldilocks Zone
- Guide to Prompt Engineering
- Prompt Engineering Exercise
- The AI Growth Mindset
- The Jagged Frontier of AI
- Chatbots vs. Agents
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- Overview: AI and the Science of Creativity
- Ideation Tools
- Ideation Do's and Don'ts
- Providing Context
- Avoiding AI Anchoring and Atrophy
- Go-To Prompts & Tactics
- Hands-on Exercise
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- Overview
- Research Tools
- Dos and Don'ts
- Leveraging SME Insights and internal Data
- Research use case: Industry Trend Analysis & Insight Generation
- Research use case: Thought Leadership Landscape Analysis
- Hands-on Exercise
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- Overview: Why use it and when?
- Beware the Vortex of Mid
- Mindset: Original Content vs. Formulaic Content
- Providing Thought Leadership Context
- Go-To Prompts & Tactics
- Use Case: Big Rock Research Content
- Use Case: Industry Analysis & Commentary
- Use Case: Divisible Content
- Use Case: Speaking & Presentations
- Exercise: Thought leadership content creation
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- Overview
- Dos and Don'ts
- The AI Feedback Loop
- Building synthetic personas — Board of Brains
- Go-To Prompts & Tactics
- Use case: Research Content
- Use case: Industry Analysis & Commentary
- Use case: Speaking & Presentations
- Measurement and tracking impact
- Hands-on Exercise
As an IACET Accredited Provider, APQC offers .8 CEUs for this course that comply with the ANSI/IACET Continuing Education and Training Standard.
